Evidence map›Paper›PMID 42209525›Full record

ArticleNature communications2026

A T7 RNAP regulatory toolbox for cell-free network engineering and biosensing applications.

Pao-Wan Lee, Seyed Saeed Mottaghi, Matthis Guillaume Lugnier, Sebastian J Maerkl

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Pao-Wan LeeInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0009-0004-1376-9115
Seyed Saeed MottaghiInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0009-0003-2468-1269
Matthis Guillaume LugnierInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Sebastian J MaerklInstitute of Bioengineering, School of Engineering, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. sebastian.maerkl@epfl.ch.ORCID http://orcid.org/0000-0003-1917-5268

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 200020_214843Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) CRSII5_189910
6 · The paper itself

Abstract

T7 RNA polymerase is ubiquitously used in the fields of synthetic biology and biotechnology. Yet the ability to precisely and modularly regulate T7 RNAP remains surprisingly limited. Here, we engineer a T7 RNAP regulatory toolbox consisting of programmable synthetic repressors, activators, and biosensors in a cell-free system. This toolbox enables scalable design of T7 RNAP-based gene regulatory networks and enables rapid, sensitive, and multiplexed detection of diverse biomolecules, including small-molecule drugs, antibodies, and proteins, in a simple one-pot reaction. By integrating a protein design pipeline, we generate biosensors using fully synthetic binders, demonstrating the potential for rapid development of protein-based sensors. We construct a diagnostic cell-free system combining SARS-CoV-2 Spike protein sensing, gene regulatory based amplification, enzymatic amplification, and glucose based detection demonstrating the potential for point-of-care detection with high sensitivity. This work demonstrates a flexible and expandable framework for constructing gene circuits responsive to a wide range of biomolecules and demonstrates the potential for engineering point-of-care cell-free diagnostic assays.

Indexed as

Biosensing TechniquesDNA-Directed RNA PolymerasesGene Regulatory NetworksViral ProteinsCell-Free SystemCOVID-19HumansProtein EngineeringSARS-CoV-2Synthetic Biologybacteriophage T7 RNA polymeraseDNA-Directed RNA PolymerasesViral Proteins

Identifiers

PMID42209525
PMCPMC13389190

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.